How Airbnb Uses Transformer
6 engineering articles about Transformer from Airbnb's engineering team
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The article discusses Airbnb's implementation of an AI-powered photo tour feature using Vision Transformers to enhance the guest experience by accurately classifying and organizing listing images.
Pei Xiong
9 min read
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The article discusses Airbnb's Listing Attribute Extraction Platform (LAEP), a machine learning system designed to extract structured data from unstructured text data generated on their platform.
Hongwei Harvey Li
9 min read
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This article discusses the process of building categories for Airbnb listings using a combination of machine learning (ML) and human review.
Mihajlo Grbovic
13 min read
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The article discusses how Airbnb utilized machine learning and a human-in-the-loop system to create categories for unique listings, enhancing the travel search experience.
Mihajlo Grbovic
10 min read
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The article discusses the development of an AI-based sentiment model at Airbnb to assess customer service quality, complementing the traditional Net Promoter Score (NPS).
Shuai Shao (Shawn)
12 min read
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The article introduces WIDeText, a multimodal deep learning framework developed by Airbnb to streamline the development and deployment of classification systems.
Wayne Zhang
11 min read
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